28 postdoctoral-in-electrical-engineering PhD positions at University of Southern Denmark
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Job Description The Institute of Mechanical and Electrical Engineering at SDU invites applications for a 3-year PhD position focusing on CMOS implementation of State-Space Model-driven Spiking
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Job Description The Institute of Mechanical and Electrical Engineering at SDU invites applications for a 3-year PhD position in Cryogenic CMOS Design. This exciting position offers the opportunity
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to real-world applications in brain-computer interfaces Publish in leading conferences and journals We Are Looking For A Master’s degree in Electrical Engineering, Computer Engineering, or a related field
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. Qualifications/requirements We are looking for a highly motivated, dedicated and ambitious candidate with: - A recent MSc degree - or similar - in biology or other relevant educations like engineering
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degree (see notes below) in Computer Science, Applied Mathematics, Data Science, Computational Statistics, Bioinformatics, Computer Engineering, or related field that provides a sufficient background in
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cognitive psychology. The PhD student will be a member of the research group in Applied and Interdisciplinary Phenomenology. The group includes several postdoctoral researchers with backgrounds in philosophy
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. The group’s current projects span a range of cutting-edge topics within smart factories, automation, and supply chain digitalisation, viewed through the lenses of technology, innovation, and entrepreneurship
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strong background in industrial engineering, computer science, software engineering, energy systems, robotics, or related disciplines Interest in AI, simulation, and optimization for energy and industrial
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the SNN PhD researcher to deliver suitable input formats Publish your findings in international journals and conferences We Are Looking For Master’s degree in Electrical Engineering, Microelectronics, or a
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Job Description SDU Civil and Architectural Engineering (CAE) invites applications for a PhD position in Structural Engineering, with a focus on advancing probabilistic modelling techniques